Class Schedule

Term

Subject

Location

Liberal Education

Class Schedule Advanced Search

Times: Between: and
Day(s): Hold down the Ctrl (windows) / Command (Mac) button to select multiple options.
Class Number Range

Instructor: Search for an instructor by name.
Course Name: Search for a course by name.
Delivery Method

Important Notice:
Some Extended Learning courses will be opened to all students (on and off campus) for registration on Nov 23rd at noon. Tuition for undergraduate courses, with the exclusion of most travel courses, is banded (12-18 credits). Some programs/courses are approved for differential tuition, this charge is in addition to the tuition rate. Please review your charges on your fee statement in e-Services.

11 Courses Found.

ID	Dept.	Crs.	Sect.	Title	Cr.	Days	Time	Dates	Instructor	Method	Size
Computer Science
215677	CS	1107	01	Introduction to Computers	3	T H	2:00pm - 3:15pm	1.11.21-5.6.21	Tian, Baozhong	RMTN	7/35
This course can be taken completely online and will be delivered partially synchronously (online participation during some of the days and times listed), and partially asynchronously (with no specific time or day for participation).
An examination of the development of computing devices, modern computing practices, components of a computing system, common application software, and uses of computers in society. No previous experience with computers is assumed. Note: This course is not intended for Computer Science majors or minors. Liberal Education Goal Area 9.
215679	CS	1309	01	Prob Solv & Computation	3	M W	12:00pm - 12:50pm	1.11.21-5.6.21	Wolf, Marty	RMTN	17/24
						T	8:00am - 9:50am	1.11.21-5.6.21	Wolf, Marty
This course can be taken completely online and will be delivered synchronously (online participation during the days and times listed).
Introduction to general problem-solving techniques applicable to solving problems in computing, including elementary computational problems. Other techniques include using systematic lists, using diagrams, and looking for patterns. Includes fundamental computational concepts in information representation, computer organization, and social and ethical issues in computing. The two-hour lab introduces the use of software to solve a variety of problems. The prospective student should have a general understanding of computers and their operation. Prerequisite: Successful completion of MATH 0800 with a grade of B or better, or three years of high school mathematics (including two years of algebra) and a score on the Mathematics Placement Test appropriate for placement into MATH 1170. Liberal Education Goal Area 4
215680	CS	2321	01	Computer Science I	4	M W F	12:00pm - 12:50pm	1.11.21-5.6.21	Tian, Baozhong	RMTN	8/17
						W	2:00pm - 3:50pm	1.11.21-5.6.21	Tian, Baozhong
This course can be taken completely online and will be delivered synchronously (online participation during the days and times listed).
Introduction to the basic principles of software development using a modern high-level language, including using selection, looping, function calls, and recursion, along with simple data structures such as arrays and objects, to solve problems. Includes an introduction to software engineering techniques such as interactive debugging, software testing, and methods of software validation. Includes a two-hour lab. Prerequisite: CS 1309; MATH 1170 or MATH 1470 or higher.
215681	CS	2321	02	Computer Science I	4	M W F	12:00pm - 12:50pm	1.11.21-5.6.21	Tian, Baozhong	RMTN	9/18
						H	12:00pm - 1:50pm	1.11.21-5.6.21	Tian, Baozhong
This course can be taken completely online and will be delivered synchronously (online participation during the days and times listed).
Introduction to the basic principles of software development using a modern high-level language, including using selection, looping, function calls, and recursion, along with simple data structures such as arrays and objects, to solve problems. Includes an introduction to software engineering techniques such as interactive debugging, software testing, and methods of software validation. Includes a two-hour lab. Prerequisite: CS 1309; MATH 1170 or MATH 1470 or higher.
215683	CS	2322	01	Computer Science II	4	M W F	9:00am - 9:50am	1.11.21-5.6.21	Neville, Francois	RMTN	9/24
						M	2:00pm - 3:50pm	1.11.21-5.6.21	Neville, Francois
This course can be taken completely online and will be delivered synchronously (online participation during the days and times listed).
Topics include recursion and the study of object-oriented concepts including encapsulation, inheritance and polymorphism. It includes the study of fundamental data structures including strings, lists, stacks, queues, containers classes, binary trees, and hash tables. Also includes a group-oriented software design and implementation project. Includes a two-hour lab. Prerequisite: CS 2321.
215682	CS	2810	01	Cptr Organiz & Assem Lang	3	T H	8:00am - 9:15am	1.11.21-5.6.21	Tian, Baozhong	RMTN	11/35
This course can be taken completely online and will be delivered synchronously (online participation during the days and times listed).
An introduction to the register level architecture of a modern computer and programming with an assembly language for that processor. Includes a two-hour lab. Prerequisite or Corequisite: CS 2322.
215685	CS	2930	01	Intro to Data Analysis	3	T H	2:00pm - 3:15pm	1.11.21-5.6.21	Neville, Francois	RMTN	2/30
This course can be taken completely online and will be delivered synchronously (online participation during the days and times listed). This course will provide an introduction to the basic concepts of data analysis and machine learning models, methods and techniques pioneered within the fields of Artificial Intelligence and Statistical Modeling. Topics covered may include any/all of the following: statistics for data analysis, knowledge representation, data clustering, categorization and regression models, decision trees, perceptrons. Some student facility with mathematics and Excel is assumed. Prerequisite: CS 2321 Computer Science I
A course proposed for inclusion in the University curriculum. May not be offered more than two times as an experimental course.
215688	CS	3270	01	Advanced Web Programming	3	T H	2:00pm - 3:45pm	1.11.21-5.6.21	Wolf, Marty	RMTN	16/24
This course can be taken completely online and will be delivered synchronously (online participation during the days and times listed).
This course builds on topics from CS 2270. Students learn server-side scripting, database connectivity, and dynamic web-page updating. Web development frameworks are also studied. Prerequisite: CS 2270.
215690	CS	3370	01	Mobile App Development	3	T H	10:00am - 11:45am	1.11.21-5.6.21	Neville, Francois	RMTN	14/24
This course can be taken completely online and will be delivered synchronously (online participation during the days and times listed).
A study of development techniques to address issues that arise in the development of interactive applications for mobile devices using a popular mobile application development platforms such as the iPhone and Android SDKs. Examines the specific requirements for mobile systems. Emphasizes how the requirements in mobile application development link to other core areas in computing. May not be offered every year. Prerequisites: CS 2270 and (CS 2321 or CS 3270).
216323	CS	4410	01	Digital Image Processing	3	M W F	10:00am - 10:50am	1.11.21-5.6.21	Tian, Baozhong	RMTN	12/30
This course can be taken completely online and will be delivered synchronously (online participation during the days and times listed).
This course covers techniques for image acquisition, transformation, enhancement, restoration, compression, segmentation and recognition. A brief introduction to advanced topics such as motion detection, optical flow, etc., is also included. Prerequisite(s): CS2322 and either Math 1470 or MATH 2471
215692	CS	4627	01	Theory of Computation	3	M W F	9:00am - 9:50am	1.11.21-5.6.21	Wolf, Marty	RMTN	6/30
This course can be taken completely online and will be delivered synchronously (online participation during the days and times listed).
Explores the theoretic roots and limits of computing. Prerequisites: CS 2322 and MATH 2210.
Delivery Method Key Note: No delivery method indicates course is delivered in-person on-campus (charged on-campus fees) BLND: Blended/hybrid: 25-75% of course is delivered online with regularly scheduled in-person meetings (charged on-campus fees) HYFL: Course instruction is delivered both in-person and online, you choose the method that is right for you (charged on-campus fees) RMTL: Remote teaching with limited in-person meetings (charged on-campus fees) RMTN: Remote teaching with no in-person meetings (charged on-campus fees) ONL: Course is delivered completely online (charged online tuition differential) ONLP: Course is delivered completely online with proctored exams or up to two in-person meetings (charged online tuition differential) ONLS: Course is delivered completely online with some synchronous class meetings (charged online tuition differential)

Last Updated: 2021-01-17 10:16:28

Best Decision Ever.

Education That Works.

Ready When You Are.

No Place Like This.

♬ Fight With All Your Might! ♬

Once a Beaver...

Creating the Future.

BSU News

Class Schedule

Class Schedule Advanced Search